Zero1 Labs (𝟘,𝟷)
@zero1_labs
Powering Decentralized AI with Cypher. Partnered with @nvidia Ignition AI Accelerator
AI depends on data. Blockchains depend on trust. To combine them, privacy has to be solved. Cypher is Zero1 Labs’ FHE–EVM chain, designed for AI and LLM applications. It performs computations directly on encrypted data, ensuring inputs stay private while results remain correct.…
Secure. Scalable. Built for AI. Zero1 Labs is redefining how developers build with FHE, concurrency, and modular design.
Modern AI systems all face the same foundational challenge: data ownership. Zero1 Labs is building fully compliant, decentralized infrastructure that supports clear consent, fair participation, secure usage, and transparent model rights. A future of truly collaborative AI…
Every intelligent system needs a common language for execution. Cypher defines that layer for Zero1 Labs. Bridging agents, protocols, and workflows through structured JSON calls and FHE-secured computation. github.com/z1labs/Cypher
Zero1 Labs will be at The AI Summit NYC. Exploring how open protocols power the next generation of intelligent systems. See you in New York.
Zero1 Labs builds the infrastructure layer for decentralized intelligence, integrated with @NEARProtocol, @oceanprotocol, @Aptos, @OasisProtocol, and @Google. These networks provide the core components of data, compute, and privacy that enable scalable AI execution across Web3.…
Cypher Testnet Milestone: October 2025 Since launch, the Cypher Testnet has processed over 70 million transactions, reflecting strong developer engagement and sustained network activity. • 6.47M total users • +5.3% growth in token holders over the last 20 days • +13.2%…
Cypher's FHE-EVM enables on-chain computation over encrypted data, bringing fully homomorphic encryption to Ethereum's virtual machine. Smart contracts can now compute on encrypted data, inputs, state, and outputs stay private end to end. Developers keep their usual Solidity…
The Zero1 Labs stack is fully open-source. Inside our GitHub, you’ll find: • Encrypted compute primitives • On-chain coordination tools • Model Context Protocol integrations • Governance modules Explore the repo → github.com/z1labs
Nexus is a modular interface layer for building adaptive, context-aware AI systems. Instead of embedding all logic and context inside a single model, Nexus exposes a chat-native interface that links to backend components through the MCP. Shifting AI architectures from closed,…
Cypher gives AI models a home on-chain. Once minted, the model’s hash, weights, and ownership live as a verifiable record. For builders, it’s a way to ship models without wrapping them in a service. You own what you build, and it stays verifiable from day one.
Mintable AI Agents are LIVE on Cypher the first standard turning trained AI models into verifiable digital assets. Own, trade, and verify intelligence itself. AI is no longer a service - it’s property. Each Mintable AI Agent is: - A unique NFT representing an AI model - Bound…
Mintable AI Agents are LIVE on Cypher the first standard turning trained AI models into verifiable digital assets. Own, trade, and verify intelligence itself. AI is no longer a service - it’s property. Each Mintable AI Agent is: - A unique NFT representing an AI model - Bound…
NFTs made art verifiable. Cypher’s Mintable AI Agents will make intelligence verifiable. Each agent will carry its model hash (its identity), its encrypted weights (its mind), and its performance record (its reputation). With FHE, these agents can safely perform encrypted tasks…
Imagine an open market where you can collect, license, or upgrade AI agents — each with private intelligence but public performance. With FHE-encrypted computation, agents could participate in experiments, research tasks, or inference markets without exposing their underlying…
Privacy + research don’t usually mix. Cypher changes that with FHE field encryption built into the stack. Here’s what you can try right now on testnet 👇 With FHE (tfhe_wasm plug-in), Cypher supports: - Private computations - Secure research workflows - Privacy-preserving…
Cypher’s latest update: Optional FHE Field Encryption (tfhe_wasm plug-in). Compute directly on encrypted data — without ever decrypting it. Why it matters: - Sensitive research data (genomics, medical, AI logs) - Collaboration without leaks - Verifiable outputs while…
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